CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of ContextFold - scored higher in this pairwise comparison

  4. Performance of MCFold - scored lower in this pairwise comparison

  5. Compile and download dataset for ContextFold & MCFold [.zip] - may take several seconds...


Overview

Metric ContextFold MCFold
MCC 0.564 > 0.370
Average MCC ± 95% Confidence Intervals 0.545 ± 0.174 > 0.377 ± 0.120
Sensitivity 0.541 > 0.421
Positive Predictive Value 0.598 > 0.338
Total TP 171 > 133
Total TN 27995 > 27888
Total FP 163 < 322
Total FP CONTRA 47 < 62
Total FP INCONS 68 < 198
Total FP COMP 48 < 62
Total FN 145 < 183
P-value 2.66715895098e-08

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Performance plots


  1. Comparison of performance of ContextFold and MCFold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for ContextFold and MCFold).

  2. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for ContextFold and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and MCFold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for ContextFold and MCFold).

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 171
Total TN 27995
Total FP 163
Total FP CONTRA 47
Total FP INCONS 68
Total FP COMP 48
Total FN 145
Total Scores
MCC 0.564
Average MCC ± 95% Confidence Intervals 0.545 ± 0.174
Sensitivity 0.541
Positive Predictive Value 0.598
Nr of predictions 17

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2. Individual counts for ContextFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.58 0.56 0.63 10 512 6 0 6 0 8
2M58_A - -0.02 0.00 0.00 0 530 14 3 11 0 12
3J0L_a - 0.80 0.73 0.89 8 402 2 0 1 1 3
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.79 0.79 0.79 15 949 4 3 1 0 4
3J3E_8 -0.01 0.00 0.00 0 2722 29 12 8 9 15
3J3F_8 0.36 0.42 0.31 8 4735 32 9 9 14 11
3U4M_B - 0.98 0.95 1.00 21 1255 0 0 0 0 1
3ZEX_C 0.44 0.41 0.48 12 5349 23 4 9 10 17
4A1C_2 0.26 0.25 0.28 5 4498 26 3 10 13 15
4ATO_G - -0.02 0.00 0.00 0 218 2 1 1 0 7
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.77 0.71 0.85 17 1182 3 2 1 0 7
4FRN_A 0.42 0.39 0.46 11 1824 13 6 7 0 17
4JF2_A 0.57 0.50 0.67 12 1064 6 2 4 0 12
4JRC_A - 0.91 0.82 1.00 14 608 0 0 0 0 3

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 133
Total TN 27888
Total FP 322
Total FP CONTRA 62
Total FP INCONS 198
Total FP COMP 62
Total FN 183
Total Scores
MCC 0.370
Average MCC ± 95% Confidence Intervals 0.377 ± 0.120
Sensitivity 0.421
Positive Predictive Value 0.338
Nr of predictions 17

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2. Individual counts for MCFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.44 0.44 0.47 8 511 10 0 9 1 10
2M58_A - 0.22 0.25 0.23 3 531 13 1 9 3 9
3J0L_a - 0.14 0.18 0.15 2 398 13 1 10 2 9
3J20_0 0.66 0.71 0.63 15 1195 11 3 6 2 6
3J3D_C 0.54 0.63 0.48 12 943 13 4 9 0 7
3J3E_8 0.15 0.20 0.12 3 2716 36 11 12 13 12
3J3F_8 0.14 0.21 0.10 4 4720 51 17 20 14 15
3U4M_B - 0.74 0.77 0.71 17 1252 10 1 6 3 5
3ZEX_C 0.30 0.34 0.27 10 5337 28 6 21 1 19
4A1C_2 0.18 0.25 0.14 5 4480 45 12 19 14 15
4ATO_G - 0.36 0.43 0.33 3 211 8 0 6 2 4
4ENB_A 0.78 0.73 0.85 11 459 4 0 2 2 4
4ENC_A 0.34 0.33 0.38 5 483 11 0 8 3 10
4FRG_B 0.35 0.38 0.35 9 1176 17 3 14 0 15
4FRN_A 0.09 0.11 0.10 3 1818 28 2 25 1 25
4JF2_A 0.74 0.75 0.75 18 1058 7 1 5 1 6
4JRC_A - 0.24 0.29 0.23 5 600 17 0 17 0 12

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.